Recent Submissions
Item Open Access Rostering optimization for schedule stability in last-mile delivery(2024-06) Bramwell-Codd, Jonny; Mottet, Clarice; Pérez Ricardo, Carlos
Item Open Access Comparison of vision transformers and convolution neural networks(2024-06-09) Belka, Caroline; Chen, Joshua; Wallstein, Jonas
Item Open Access War through the lens of AI: image analysis of the Russia-Ukraine war in Spanish news(2024-07) Di Gianvito, Angelo; Gatland, Oliver; Yuzkiv, Viktoriia
Item Open Access How to generate new versions of an original character?: an application of LoRA and DreamBooth fine-tuning of diffusion models(2024-07) Boudier, Maëlys; Beltrán, Natalia; Michelangelo, Arianna
Item Open Access Harnessing big data news media for conflict prediction and anticipatory decision-making(2023-07) Chaves, Giovanna; Philipp, Margherita; Quiñones, Luis
Item Open Access Forecasting global refugee flows: a machine learning approach using non-conventional data(2023-08-18) De los Santos, Daniela; Frey, Eric; Vassallo, Renato
Item Open Access Exploring user retention in enhance VR: a comprehensive analysis using predictive models and clustering(2023-07) Odizzio, Catalina; Pissinis, Agostina
Item Open Access Leveraging satellite imagery to assess road quality in the Democratic Republic of the Congo(2023-06) Conner Bonmatí, Miguel; Talvi Robledo, Ramón; Wielath, Dominik Johannes
Item Open Access Corpus construction and social media analysis about immigration in Chile(2022-06) Couble, Andrés; Schindler, Mathias; Stassinos, Kalliope
Item Open Access Risk detection in cryptocurrency markets: meeting the needs of traditional finance(2022-05) Aguilar, Iván; Jones, Rebecca; Lovicu, Gian-Piero
Item Open Access Bayesian optimization with uncertainty aware neural networks(2022-05) Ampudia, David; Leung, Clinton
Item Open Access Deep vector autoregression for macroeconomic data(2021-07-20) Agustí, Marc; Altmeyer, Patrick; Vidal-Quadras, Ignacio
Item Open Access Understanding latent vector arithmetic for attribute manipulation in normalizing flows(2021) Gimenez Funes, Eduard
Item Open Access Tracking the economy using FOMC speech transcripts(2020-07-20) Battaglia, Laura; Salunina, Maria
Item Open Access Item Open Access Scalable inference for crossed random effects models(2020-08-17) Müller, Maximilian
Item Open Access Deep reinforcement learning for the optimization of traffic light control with real-time data(2019) Matyja, Monika; Morera, Jordi; Wolf, Sebastian
Item Open Access Investigation of sentiment importance on intraday stock returns(2018) Costa, Michele; Marschall, Laurits; Mirsadeghi, Seyed Hamed; Sanctis, Alessandro de
Item Open Access Scalable inference for Gaussian hierarchical models(2018) Hao, Kwa Jie
Item Open Access Randomized numerical linear algebra for generalized linear models with big datasets(2017) Lange, Robert Tjarko